SCATR | The Data Camouflage Company

The Problem

Your data is in danger when it’s in motion.

When data is set into motion–traversing through untrusted networks–is when it’s most vulnerable to attack.

And legacy solutions like SD-WAN and VPN simply don’t provide the level of security required to protect data in motion for a post-quantum world.

Yet existing data security architectures focus almost exclusively on data at rest and data in use.

The Problem

Your data is in danger when it’s in motion.

When data is set into motion–traversing through untrusted networks–is when it’s most vulnerable to attack.

And legacy solutions like SD-WAN and VPN simply don’t provide the level of security required to protect Data in Motion for a post-quantum world.

Yet existing data security architectures focus almost exclusively on Data at Rest and Data in Use.

The solution

Take command of your data in motion with our patented Zero Trust Transit™ Command and Control (C2) Center.

The Zero Trust Transit™ C2 Center empowers organizations to proactively secure data in motion across untrusted networks, providing data obfuscation, resiliency, and quantum-proof security. SCATR's patented data camouflage technology allows enterprises to secure their data in motion across the world’s most hostile environments, addressing a critical gap in Zero Trust security architectures that often focus on protecting data at rest (ZTN) and data in use (ZTNA).

SCATR is Zero Trust Transit (ZTT) for data in motion.

ZTT™ Command and Control Center

User-configurable encryption, such as AES, and out-of-band key exchanges ensure secure communication while eliminating easily identifiable VPN markers or metadata.
Dynamic packet sizing, fragmentation, and padding mitigate traffic analysis and fingerprinting risks, obscuring the true nature of transmitted data.
Variable timing and jitter mechanisms introduce randomness and mimic realistic local NetFlow traffic patterns.

Dynamically altering network flow protocols masks the characteristics of original traffic, making it difficult to identify or analyze.
Seamlessly switch between protocols to bypass degraded or blocked channels, ensuring uninterrupted communication.
Intelligently adapt protocols to match those prevalent in a specific region, allowing traffic to blend in and avoid detection.

Simultaneously utilize all available physical pathways in a random manner, with user-configurable weighting, to improve performance and resiliency.
Gain insights into each pathway’s performance, including uptime, latency, throughput, and service provider routing.
Incorporate intermediate relay "hops" along each pathway to eliminate the ability to identify direct communication between endpoints.

User-configurable encryption, such as AES, and out-of-band key exchanges ensure secure communication while eliminating easily identifiable VPN markers or metadata.
Dynamic packet sizing, fragmentation, and padding mitigate traffic analysis and fingerprinting risks, obscuring the true nature of transmitted data.
Variable timing and jitter mechanisms introduce randomness and mimic realistic local NetFlow traffic patterns.

Dynamically altering network flow protocols masks the characteristics of original traffic, making it difficult to identify or analyze.
Seamlessly switch between protocols to bypass degraded or blocked channels, ensuring uninterrupted communication.
Intelligently adapt protocols to match those prevalent in a specific region, allowing traffic to blend in and avoid detection.

Simultaneously utilize all available physical pathways in a random manner, with user-configurable weighting, to improve performance and resiliency.
Gain insights into each pathway’s performance, including uptime, latency, throughput, and service provider routing.
Incorporate intermediate relay "hops" along each pathway to eliminate the ability to identify direct communication between endpoints.

USE CASES